Searched for: subject%3A%22Independent%255C+component%255C+analysis%22
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Gao, Xuan (author)
Micro-Doppler (µDoppler) ultrasound imaging is a high frame rate ultrasound imaging modality that provides high spatiotemporal resolution ultrasound images of blood flow. It is sensitive to slow blood flow and particularly suitable for capturing fast-changing phenomena like rapid blood flow. Clutter filtering is an essential step in µDoppler...
master thesis 2023
document
Lehmann, Isabell (author), Adali, Tulay (author), Kruizinga, P. (author), Hunyadi, Borbala (author)
Functional Ultrasound (fUS) is a relatively new modality to measure brain activity with a high spatio-temporal resolution. In order to collect full-brain information with this 2D imaging technique, fUS data is typically collected for a fixed position of the ultrasound probe for the duration of the experiment, before the probe is moved to the...
conference paper 2023
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Denarié, Pierre-Antoine (author)
Blind Source Separation (BSS), the separation of latent source components from observed mixtures, is relevant to many fields of expertise such as neuro-imaging, economics and machine learning. Reliable estimates of the sources can be obtained through diagonalization of the cumulant tensor, i.e., a fourth-order symmetric multi-linear array...
master thesis 2022
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Wijnands, Ruben (author)
In recent years, the increase in brain research led to the development of large-scale brain imaging techniques. With large-scale brain imaging techniques, such as functional magnetic resonance imaging (fMRI), functional connectivity analyses have shown altered connectivity patterns in humans and mice with neurobiological disorders, such as...
master thesis 2022
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Kaygan, Arda (author)
Functional ultrasound (fUS) is a neuroimaging modality that offers high spatial and temporal resolution while also providing portability. In this thesis, neuroimaging data acquired with fUS at Center for Ultrasound and Brain imaging at Erasmus MC (CUBE) is processed. Due to the fact that fUS data is inherently multidimensional, we propose using...
master thesis 2021
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van der Cruijsen, J. (author), Manoochehri, M. (author), Jonker, Z.D. (author), Andrinopoulou, Eleni Rosalina (author), Frens, Maarten A. (author), Ribbers, G.M. (author), Schouten, A.C. (author), Selles, R.W. (author)
Neurophysiologic correlates of motor learning that can be monitored during neurorehabilitation interventions can facilitate the development of more effective learning methods. Previous studies have focused on the role of the beta band (14–30 Hz) because of its clear response during motor activity. However, it is difficult to discriminate...
journal article 2021
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Nijmeijer, Kirsten (author)
The ability to control and adapt joint stiffness is essential in human motor control. Both control loops on the spinal as well as cortical level are likely to play a role in this regulation. However, the cortical mechanisms involved with the online adaptive control of joint stiffness remain largely unresolved. This study aimed at identifying...
master thesis 2020
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Ntekouli, Mado (author)
Understanding the hidden organizational principles existing in the human brain was always one of the great challenges in Neuroscience. To uncover the way the brain functions, advancements in the fields of Medical Imaging and Computational Science have been of great importance. Powerful imaging tools, such as functional magnetic resonance imaging...
master thesis 2019
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Solis Escalante, T. (author), van der Cruijsen, Joris (author), de Kam, Digna (author), van Kordelaar, J. (author), Weerdesteyn, Vivian (author), Schouten, A.C. (author)
The contributions of the cerebral cortex to human balance control are clearly demonstrated by the profound impact of cortical lesions on the ability to maintain standing balance. The cerebral cortex is thought to regulate subcortical postural centers to maintain upright balance and posture under varying environmental conditions and task...
journal article 2019
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Greeuw, Yvonne (author)
Motor learning is a vital ability of the human brain in which multiple cortical areas like the primary motor cortex are involved. One way to investigate the fast motor learning brain dynamics is with use of electroencephalography (EEG). This non-invasive and mobile technique records continuous electrical activity on the brain cortex with a high...
master thesis 2018
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